OpenAI 𝗶𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝗲𝗱 𝗖𝗵𝗮𝘁𝗚𝗣𝗧 𝗳𝗼𝗿 𝗙𝗶𝗻𝗮𝗻𝗰𝗶𝗮𝗹 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀

OpenAI 𝗶𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝗲𝗱 𝗖𝗵𝗮𝘁𝗚𝗣𝗧 𝗳𝗼𝗿 𝗙𝗶𝗻𝗮𝗻𝗰𝗶𝗮𝗹 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀, a finance-specific enterprise version of ChatGPT built initially for investment banking and equity research. It was developed with Morgan Stanley and Evercore as design partners. The product is available to eligible financial institutions, with firms working directly with OpenAI for access.

𝗧𝗵𝗲 𝗽𝗿𝗼𝗱𝘂𝗰𝘁 𝗶𝘀 𝗱𝗲𝘀𝗶𝗴𝗻𝗲𝗱 𝘁𝗼 𝗵𝗮𝗻𝗱𝗹𝗲 𝗮 𝘄𝗶𝗱𝗲 𝗿𝗮𝗻𝗴𝗲 𝗼𝗳 𝘄𝗼𝗿𝗸 𝗶𝗻𝗰𝗹𝘂𝗱𝗶𝗻𝗴 research, financial and market analytics with citations, EXCEL financial modeling, PPT deck creation, etc.

𝗔 𝗸𝗲𝘆 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁𝗶𝗮𝘁𝗼𝗿 𝗶𝘀 𝗻𝗮𝘁𝗶𝘃𝗲 𝗮𝗰𝗰𝗲𝘀𝘀 𝘁𝗼 𝗳𝗶𝗻𝗮𝗻𝗰𝗶𝗮𝗹 𝗱𝗮𝘁𝗮. OpenAI is bundling sources such as Daloopa, PitchBook, LSEG News, and Crunchbase, while also working on integrations with existing subscriptions such as S&P Capital IQ, LSEG, MSCI, Dow Jones Factiva, and Moody’s.

𝗧𝗵𝗲 𝗽𝗿𝗼𝗱𝘂𝗰𝘁 𝗶𝘀 𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝗯𝘆 𝗚𝗣𝗧-𝟲 𝗔𝘀𝘁𝗿𝗮, optimized for financial information retrieval, financial reasoning, and artifact creation.

𝗕𝗲𝗰𝗮𝘂𝘀𝗲 𝗳𝗶𝗻𝗮𝗻𝗰𝗶𝗮𝗹 𝗳𝗶𝗿𝗺𝘀 𝗵𝗮𝗻𝗱𝗹𝗲 𝘀𝗲𝗻𝘀𝗶𝘁𝗶𝘃𝗲 𝗶𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻, 𝘁𝗵𝗲 𝗽𝗿𝗼𝗱𝘂𝗰𝘁 𝗶𝗻𝗰𝗹𝘂𝗱𝗲𝘀 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗰𝗼𝗻𝘁𝗿𝗼𝗹𝘀 such as: SAML SSO and SCIM, role-based access controls, encryption, configurable data retention, compliance/audit capabilities, information barriers through multiple workspaces.

OpenAI says customer business data is NOT used to train its models by default.

𝗢𝗽𝗲𝗻𝗔𝗜 𝗶𝘀 𝘁𝗿𝘆𝗶𝗻𝗴 𝘁𝗼 𝗺𝗼𝘃𝗲 𝗖𝗵𝗮𝘁𝗚𝗣𝗧 𝗳𝗿𝗼𝗺 𝗮 𝗴𝗲𝗻𝗲𝗿𝗮𝗹-𝗽𝘂𝗿𝗽𝗼𝘀𝗲 𝗮𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁 𝗶𝗻𝘁𝗼 𝗮 𝗯𝗮𝗻𝗸𝗶𝗻𝗴 𝘄𝗼𝗿𝗸 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺. Its near-term effect will likely be to compress the time required for first-pass research, modelling, and presentation production. Its longer-term significance is organizational.

𝗧𝗵𝗲 𝗼𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝘆 𝗶𝘀 𝘁𝗼 𝗺𝗮𝗸𝗲 𝗲𝗻𝘁𝗶𝗿𝗲𝗹𝘆 𝗻𝗲𝘄 𝗰𝗮𝘁𝗲𝗴𝗼𝗿𝗶𝗲𝘀 𝗼𝗳 𝘄𝗼𝗿𝗸 𝗽𝗼𝘀𝘀𝗶𝗯𝗹𝗲, 𝗡𝗢𝗧 𝗱𝗼 𝗲𝘅𝗶𝘀𝘁𝗶𝗻𝗴 𝘄𝗼𝗿𝗸 𝟭𝟬% 𝗳𝗮𝘀𝘁𝗲𝗿:

→ Every company can have continuous, institutional-quality financial intelligence.

→ Every investor can have a research team that never sleeps.

→ Every entrepreneur can access sophisticated capital-markets analysis.

→ Every wealth client can receive a level of high-touch personalization.

That's the deeper shift.

𝗔𝗻𝗱 𝘁𝗵𝗶𝘀 𝗶𝘀 𝘁𝗵𝗲 𝗽𝗮𝘁𝘁𝗲𝗿𝗻 𝘄𝗲 𝘀𝗵𝗼𝘂𝗹𝗱 𝘄𝗮𝘁𝗰𝗵 𝗳𝗼𝗿 𝗮𝗰𝗿𝗼𝘀𝘀 𝘁𝗵𝗲 𝗲𝗰𝗼𝗻𝗼𝗺𝘆. When intelligence becomes abundant, we get things that were previously impossible, impractical, or inaccessible.

𝗧𝗵𝗶𝗻𝗸 𝗮𝗯𝗼𝘂𝘁 𝘄𝗵𝗮𝘁 𝘁𝗵𝗲 𝘁𝗲𝗹𝗲𝘀𝗰𝗼𝗽𝗲 𝗱𝗶𝗱 𝗳𝗼𝗿 𝗵𝘂𝗺𝗮𝗻𝗶𝘁𝘆. Did it make astronomy 10% faster? No. It changed what we were capable of seeing. AI has the potential to do something similar for intelligence itself.

𝗧𝗵𝗲 𝘄𝗶𝗻𝗻𝗶𝗻𝗴 𝗳𝗶𝗿𝗺𝘀 𝘄𝗶𝗹𝗹 𝘂𝘀𝗲 𝗔𝗜 𝘁𝗼 𝗿𝗮𝗶𝘀𝗲 𝘁𝗵𝗲 𝗯𝗮𝗿 and make the impossible, practical.

Until next time,

Ram

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Ram Srinivasan

MIT Alum | Author, The Conscious Machine | Global Future of Work and AI Adoption Leader published in Business Insider, Fortune, Harvard Business Review, MIT Executive Viewpoints and more.

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Ram Srinivasan currently serves as an Innovation Strategist and Transformation Leader, authoring groundbreaking works including "The Conscious Machine" and the upcoming "The Substrate Shift."

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